rrfs.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0wecjt2rsGsg"
      },
      "source": [
        "# RRFS Data\n",
        "\n",
        "The Rapid Refresh Forecast System (RRFS) is undergoing rapid development. There are prototype products available on the cloud on AWS. Some files have an index file, others do not."
      ],
      "id": "0wecjt2rsGsg"
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "VghRZnILxRO5"
      },
      "id": "VghRZnILxRO5"
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "HK81o2AwxRNP"
      },
      "id": "HK81o2AwxRNP"
    },
    {
      "cell_type": "code",
      "source": [
        "!!  Code from  https://herbie.readthedocs.io/en/latest/user_guide/_model_notebooks/rrfs.html"
      ],
      "metadata": {
        "id": "Q8W86uwcxPQO"
      },
      "id": "Q8W86uwcxPQO",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install git+https://github.com/blaylockbk/Herbie.git"
      ],
      "metadata": {
        "id": "Uof_kCURs0jP",
        "outputId": "65b832b2-8e1b-45ad-b89f-13a8fbc235e5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "id": "Uof_kCURs0jP",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting git+https://github.com/blaylockbk/Herbie.git\n",
            "  Cloning https://github.com/blaylockbk/Herbie.git to /tmp/pip-req-build-au9wv2mb\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/blaylockbk/Herbie.git /tmp/pip-req-build-au9wv2mb\n",
            "  Resolved https://github.com/blaylockbk/Herbie.git to commit 109413312159f9b9d678a67da474e59a3004ac6d\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting cartopy\n",
            "  Downloading Cartopy-0.21.1.tar.gz (10.9 MB)\n",
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            "Collecting pygrib\n",
            "  Downloading pygrib-2.1.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (16.5 MB)\n",
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            "\u001b[?25hCollecting cfgrib\n",
            "  Downloading cfgrib-0.9.10.3.tar.gz (6.4 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.4/6.4 MB\u001b[0m \u001b[31m89.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
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            "Collecting pyproj>=3.0.0\n",
            "  Downloading pyproj-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
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            "\u001b[?25hCollecting pyshp>=2.1\n",
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            "Collecting eccodes>=0.9.8\n",
            "  Downloading eccodes-1.5.1.tar.gz (2.3 MB)\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: scipy>=1.4.0 in /usr/local/lib/python3.9/dist-packages (from metpy->herbie-data==2023.3.0.post3) (1.10.1)\n",
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            "Collecting pint>=0.15\n",
            "  Downloading Pint-0.20.1-py3-none-any.whl (269 kB)\n",
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            "\u001b[?25hRequirement already satisfied: traitlets>=5.0.5 in /usr/local/lib/python3.9/dist-packages (from metpy->herbie-data==2023.3.0.post3) (5.7.1)\n",
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            "Collecting findlibs\n",
            "  Downloading findlibs-0.0.2.tar.gz (6.2 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (1.0.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (1.4.4)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (8.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (3.0.9)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (4.39.3)\n",
            "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (5.12.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (0.11.0)\n",
            "Requirement already satisfied: appdirs>=1.3.0 in /usr/local/lib/python3.9/dist-packages (from pooch>=1.2.0->metpy->herbie-data==2023.3.0.post3) (1.4.4)\n",
            "Requirement already satisfied: requests>=2.19.0 in /usr/local/lib/python3.9/dist-packages (from pooch>=1.2.0->metpy->herbie-data==2023.3.0.post3) (2.27.1)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.9/dist-packages (from pyproj>=3.0.0->cartopy->herbie-data==2023.3.0.post3) (2022.12.7)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.8.1->pandas->herbie-data==2023.3.0.post3) (1.16.0)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib>=3.1->cartopy->herbie-data==2023.3.0.post3) (3.15.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy->herbie-data==2023.3.0.post3) (3.4)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy->herbie-data==2023.3.0.post3) (2.0.12)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests>=2.19.0->pooch>=1.2.0->metpy->herbie-data==2023.3.0.post3) (1.26.15)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.9/dist-packages (from cffi->eccodes>=0.9.8->cfgrib->herbie-data==2023.3.0.post3) (2.21)\n",
            "Building wheels for collected packages: herbie-data, cartopy, cfgrib, eccodes, findlibs\n",
            "  Building wheel for herbie-data (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for herbie-data: filename=herbie_data-2023.3.0.post3-py3-none-any.whl size=59186 sha256=e995524267ecbead8f43d81d061eb8ce9b7326095f58655488cd9e9dc28df266\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-rqp1uf9a/wheels/0f/52/59/c21c13bebc490630c80cfd04dbd821789a12df3d3f23a3bd9a\n",
            "  Building wheel for cartopy (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for cartopy: filename=Cartopy-0.21.1-cp39-cp39-linux_x86_64.whl size=11113639 sha256=8d5f5bc4634c3665accabecc201b04ee6d9b01004822853c33385a0bff2c582d\n",
            "  Stored in directory: /root/.cache/pip/wheels/74/b9/f5/2c94acd7cd21480e6cf63169144d7aac3e8d9cf638225ed578\n",
            "  Building wheel for cfgrib (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for cfgrib: filename=cfgrib-0.9.10.3-py3-none-any.whl size=46719 sha256=7c02acad8b8dda237c84340e8c57c483f1b5e5d37272727964070db7581c9e7a\n",
            "  Stored in directory: /root/.cache/pip/wheels/96/37/1f/8bbe2ebdb949ee810324e5a987711f56321743c066df87743e\n",
            "  Building wheel for eccodes (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for eccodes: filename=eccodes-1.5.1-py3-none-any.whl size=40352 sha256=de3404c8511c838b4685965d4fe7079519307ce876444e609c5ee08cf559ddc9\n",
            "  Stored in directory: /root/.cache/pip/wheels/1d/e4/6d/7153a71647a78e023fb95200b31f25ce110c94b49c01ab8038\n",
            "  Building wheel for findlibs (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for findlibs: filename=findlibs-0.0.2-py3-none-any.whl size=6561 sha256=e5b3962dbc0acd94e9a75bbff38e328badab3f62dd301c1008dba7cea322fec6\n",
            "  Stored in directory: /root/.cache/pip/wheels/9c/bb/f8/b1f064d8e6faaa316ab4065eab9b8ebfb6e295df1e38532aab\n",
            "Successfully built herbie-data cartopy cfgrib eccodes findlibs\n",
            "Installing collected packages: findlibs, pyshp, pyproj, pint, pygrib, eccodes, cfgrib, cartopy, metpy, herbie-data\n",
            "Successfully installed cartopy-0.21.1 cfgrib-0.9.10.3 eccodes-1.5.1 findlibs-0.0.2 herbie-data-2023.3.0.post3 metpy-1.4.1 pint-0.20.1 pygrib-2.1.4 pyproj-3.5.0 pyshp-2.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install eccodes"
      ],
      "metadata": {
        "id": "U35HWKdmvnfR",
        "outputId": "e6d9f484-4ebf-4260-a199-74465e128b7c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "id": "U35HWKdmvnfR",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: eccodes in /usr/local/lib/python3.9/dist-packages (1.5.1)\n",
            "Requirement already satisfied: cffi in /usr/local/lib/python3.9/dist-packages (from eccodes) (1.15.1)\n",
            "Requirement already satisfied: attrs in /usr/local/lib/python3.9/dist-packages (from eccodes) (22.2.0)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from eccodes) (1.22.4)\n",
            "Requirement already satisfied: findlibs in /usr/local/lib/python3.9/dist-packages (from eccodes) (0.0.2)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.9/dist-packages (from cffi->eccodes) (2.21)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "RsIixaQPsGsh",
        "outputId": "7a54cc08-2c19-4e6a-e210-ef8cd2264aec",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 381
        }
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-12-ed0f4489f42f>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mherbie\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mHerbie\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mtoolbox\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mEasyMap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mpaint\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstandard2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcm_tmp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/herbie/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    165\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 167\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mherbie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mHerbie\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    168\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mherbie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfast\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mFastHerbie\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mHerbie_latest\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mherbie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwgrib2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mwgrib2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/herbie/core.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mio\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mStringIO\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mcfgrib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpygrib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/cfgrib/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0;31m# cfgrib core API depends on the ECMWF ecCodes C-library only\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mabc\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mField\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFieldset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMappingFieldset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mcfmessage\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mCOMPUTED_KEYS\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     21\u001b[0m from .dataset import (\n\u001b[1;32m     22\u001b[0m     \u001b[0mDataset\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/cfgrib/cfmessage.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mabc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessages\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0mLOG\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlogging\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetLogger\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/cfgrib/messages.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 28\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0meccodes\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     29\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/eccodes/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0meccodes\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mhighlevel\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/eccodes/eccodes.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m from gribapi import (\n\u001b[0m\u001b[1;32m     13\u001b[0m     \u001b[0mCODES_PRODUCT_ANY\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0mCODES_PRODUCT_BUFR\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/gribapi/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m#\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mgribapi\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m  \u001b[0;31m# noqa\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mgribapi\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0m__version__\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/gribapi/gribapi.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mgribapi\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mGribInternalError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/gribapi/errors.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     14\u001b[0m \"\"\"\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m\u001b[0mbindings\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mENC\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mffi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.9/dist-packages/gribapi/bindings.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     33\u001b[0m \u001b[0mlibrary_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfindlibs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"eccodes\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlibrary_path\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 35\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Cannot find the ecCodes library\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     36\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[0;31m# default encoding for ecCodes strings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: Cannot find the ecCodes library"
          ]
        }
      ],
      "source": [
        "from herbie import Herbie\n",
        "from toolbox import EasyMap, pc\n",
        "from paint.standard2 import cm_tmp\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import cartopy.crs as ccrs"
      ],
      "id": "RsIixaQPsGsh"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8wbI8wW-sGsi",
        "outputId": "e22c6d16-3f16-4577-bc79-2adbc3533570"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "✅ Found ┊ model=rrfs ┊ \u001b[3mproduct=mean\u001b[0m ┊ \u001b[38;2;41;130;13m2021-Jul-23 00:00 UTC\u001b[92m F01\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "H = Herbie(\"2021-07-23\", model=\"rrfs\", fxx=1, member=1)"
      ],
      "id": "8wbI8wW-sGsi"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5CPKBTUHsGsi",
        "outputId": "2acbee00-225a-43a4-ba52-8cdde50f6c63"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'aws': 'https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.20210723/00/ensprod/rrfsce.t00z.conus.mean.f01.grib2',\n",
              " 'aws-mem': 'https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.20210723/00/mem01/rrfs.t00z.mem01.meanf001.grib2'}"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "H.SOURCES"
      ],
      "id": "5CPKBTUHsGsi"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "10a55673",
      "metadata": {
        "id": "10a55673",
        "outputId": "14df35a3-84ba-4ff1-cefb-db730ea4fbf4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'mean': 'ensemble mean',\n",
              " 'avrg': 'ensemble products: ???',\n",
              " 'eas': 'ensemble products: ???',\n",
              " 'ffri': 'ensemble products: ???',\n",
              " 'lpmm': 'ensemble products: ???',\n",
              " 'pmmn': 'ensemble products: ???',\n",
              " 'prob': 'ensemble products: ???',\n",
              " 'testbed.conus': 'surface grids (one for each member)',\n",
              " 'na': 'native grids (one for each member)'}"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "H.PRODUCTS"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BpGY9155sGsj",
        "outputId": "17755b4d-9f90-4367-8fa4-426da185183f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "👨🏻‍🏭 Created directory: [C:\\Users\\blaylock\\data\\rrfs\\20210723\\mem01]\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\blaylock\\_GITHUB\\Herbie\\herbie\\archive.py:1041: UserWarning: sorry, on windows I couldn't remove the file.\n",
            "  warnings.warn(\"sorry, on windows I couldn't remove the file.\")\n"
          ]
        }
      ],
      "source": [
        "ds = H.xarray(\"TMP:2 m\")"
      ],
      "id": "BpGY9155sGsj"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "fbf87c03",
      "metadata": {
        "id": "fbf87c03",
        "outputId": "193d6619-d0f7-440c-8078-0751ddae8e63"
      },
      "outputs": [
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              "\n",
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              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
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              "\n",
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              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
              "Dimensions:              (y: 1059, x: 1799)\n",
              "Coordinates:\n",
              "    time                 datetime64[ns] 2021-07-23\n",
              "    step                 timedelta64[ns] 01:00:00\n",
              "    heightAboveGround    float64 2.0\n",
              "    latitude             (y, x) float64 21.14 21.14 21.15 ... 47.86 47.85 47.84\n",
              "    longitude            (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
              "    valid_time           datetime64[ns] 2021-07-23T01:00:00\n",
              "Dimensions without coordinates: y, x\n",
              "Data variables:\n",
              "    t2m                  (y, x) float32 295.3 295.3 295.3 ... 287.7 287.8 287.8\n",
              "    gribfile_projection  object None\n",
              "Attributes:\n",
              "    GRIB_edition:            2\n",
              "    GRIB_centre:             kwbc\n",
              "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
              "    GRIB_subCentre:          2\n",
              "    Conventions:             CF-1.7\n",
              "    institution:             US National Weather Service - NCEP\n",
              "    model:                   rrfs\n",
              "    product:                 mean\n",
              "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
              "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.2021...\n",
              "    local_grib:              C:\\Users\\blaylock\\data\\rrfs\\20210723\\mem01\\subse...\n",
              "    searchString:            TMP:2 m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-34fea7f4-619a-4da7-859d-88548480486a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34fea7f4-619a-4da7-859d-88548480486a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 1059</li><li><span>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8124ef65-1f95-48ca-a5a5-9f1596b28350' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8124ef65-1f95-48ca-a5a5-9f1596b28350' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-07-23</div><input id='attrs-3b307ec6-e697-4d54-ad29-d671658f9c58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b307ec6-e697-4d54-ad29-d671658f9c58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bba20ed-468f-4f38-9f00-c0098f9e8070' class='xr-var-data-in' type='checkbox'><label for='data-0bba20ed-468f-4f38-9f00-c0098f9e8070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-23T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>01:00:00</div><input id='attrs-d323111b-818e-42df-8121-6fbbc33873dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d323111b-818e-42df-8121-6fbbc33873dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2ba8f9f-363d-4523-a886-f3a080626e25' class='xr-var-data-in' type='checkbox'><label for='data-e2ba8f9f-363d-4523-a886-f3a080626e25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(3600000000000, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-831131f8-d69f-48a7-bbeb-205892bb1e21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-831131f8-d69f-48a7-bbeb-205892bb1e21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b4f5e27-6023-4960-a986-aa09f6b4e876' class='xr-var-data-in' type='checkbox'><label for='data-3b4f5e27-6023-4960-a986-aa09f6b4e876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>21.14 21.14 21.15 ... 47.85 47.84</div><input id='attrs-d6e86f66-4eff-424f-8c2d-28be353b9bd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6e86f66-4eff-424f-8c2d-28be353b9bd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dd569cc-4dd5-4bbc-b524-c4893e72e3a4' class='xr-var-data-in' type='checkbox'><label for='data-3dd569cc-4dd5-4bbc-b524-c4893e72e3a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([[21.138     , 21.14498716, 21.15196735, ..., 21.15463298,\n",
              "        21.14765546, 21.14067096],\n",
              "       [21.16287153, 21.16986157, 21.17684464, ..., 21.17951136,\n",
              "        21.17253096, 21.16554359],\n",
              "       [21.18774553, 21.19473844, 21.20172438, ..., 21.20439221,\n",
              "        21.19740893, 21.19041869],\n",
              "       ...,\n",
              "       [47.78937778, 47.79966771, 47.80994756, ..., 47.81387334,\n",
              "        47.80359733, 47.79331126],\n",
              "       [47.81391163, 47.82420486, 47.83448802, ..., 47.83841506,\n",
              "        47.82813575, 47.81784637],\n",
              "       [47.83844191, 47.84873845, 47.85902491, ..., 47.86295322,\n",
              "        47.8526706 , 47.84237791]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>237.3 237.3 237.3 ... 299.0 299.1</div><input id='attrs-fa6116ac-b85c-4c84-a3ae-6bf3e7456ed1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa6116ac-b85c-4c84-a3ae-6bf3e7456ed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-856b9f15-c566-426a-a825-2b4a6da62eeb' class='xr-var-data-in' type='checkbox'><label for='data-856b9f15-c566-426a-a825-2b4a6da62eeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([[237.28      , 237.3066666 , 237.33333755, ..., 287.65646903,\n",
              "        287.68314163, 287.7098099 ],\n",
              "       [237.27250288, 237.29917661, 237.32585467, ..., 287.66394919,\n",
              "        287.69062891, 287.71730429],\n",
              "       [237.26500142, 237.29168227, 237.31836746, ..., 287.67143368,\n",
              "        287.69812053, 287.72480303],\n",
              "       ...,\n",
              "       [225.93454382, 225.97106897, 226.00760628, ..., 298.97842782,\n",
              "        299.01496977, 299.05149957],\n",
              "       [225.91921463, 225.95575173, 225.99230099, ..., 298.99372853,\n",
              "        299.03028244, 299.06682419],\n",
              "       [225.90387326, 225.94042231, 225.97698355, ..., 299.00904139,\n",
              "        299.04560728, 299.08216099]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-07-23T01:00:00</div><input id='attrs-671be809-2953-40f7-8c82-9d1e278874cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-671be809-2953-40f7-8c82-9d1e278874cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9e0070-345f-4423-8525-f3adce3cc5c6' class='xr-var-data-in' type='checkbox'><label for='data-1f9e0070-345f-4423-8525-f3adce3cc5c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-07-23T01:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dd85064-3424-4df7-89a3-76d1d36333d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5dd85064-3424-4df7-89a3-76d1d36333d9' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>295.3 295.3 295.3 ... 287.8 287.8</div><input id='attrs-90cdaf6b-5965-494d-a53b-a7d7a0fbf9f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90cdaf6b-5965-494d-a53b-a7d7a0fbf9f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ee0ccde-3bce-40d8-afba-2a47a7631341' class='xr-var-data-in' type='checkbox'><label for='data-8ee0ccde-3bce-40d8-afba-2a47a7631341' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1905141</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>3000.0</dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>38.5</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>262.5</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1799</dd><dt><span>GRIB_Ny :</span></dt><dd>1059</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert Conformal can be secant or tangent, conical or bipolar</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>21.138</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>237.28</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_parameterName :</span></dt><dd>Temperature</dd><dt><span>GRIB_parameterUnits :</span></dt><dd>K</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepRange :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>9</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>grid_mapping :</span></dt><dd>gribfile_projection</dd></dl></div><div class='xr-var-data'><pre>array([[295.3 , 295.3 , 295.31, ..., 301.  , 300.99, 300.99],\n",
              "       [295.28, 295.28, 295.28, ..., 301.  , 300.99, 300.99],\n",
              "       [295.25, 295.25, 295.25, ..., 301.  , 301.  , 300.99],\n",
              "       ...,\n",
              "       [287.51, 287.51, 287.52, ..., 287.7 , 287.75, 287.78],\n",
              "       [287.5 , 287.51, 287.51, ..., 287.72, 287.77, 287.81],\n",
              "       [287.5 , 287.51, 287.51, ..., 287.74, 287.78, 287.82]],\n",
              "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gribfile_projection</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-d229f258-c07f-4e36-a7f0-e8b17ff1184b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d229f258-c07f-4e36-a7f0-e8b17ff1184b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71450df0-f1e2-4f87-b73c-b82fe2151d7c' class='xr-var-data-in' type='checkbox'><label for='data-71450df0-f1e2-4f87-b73c-b82fe2151d7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCRS[&quot;unknown&quot;,BASEGEOGCRS[&quot;unknown&quot;,DATUM[&quot;unknown&quot;,ELLIPSOID[&quot;unknown&quot;,6371229,0,LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]],PRIMEM[&quot;Greenwich&quot;,0,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8901]]],CONVERSION[&quot;unknown&quot;,METHOD[&quot;Lambert Conic Conformal (2SP)&quot;,ID[&quot;EPSG&quot;,9802]],PARAMETER[&quot;Latitude of false origin&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8821]],PARAMETER[&quot;Longitude of false origin&quot;,262.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8822]],PARAMETER[&quot;Latitude of 1st standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8823]],PARAMETER[&quot;Latitude of 2nd standard parallel&quot;,38.5,ANGLEUNIT[&quot;degree&quot;,0.0174532925199433],ID[&quot;EPSG&quot;,8824]],PARAMETER[&quot;Easting at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8826]],PARAMETER[&quot;Northing at false origin&quot;,0,LENGTHUNIT[&quot;metre&quot;,1],ID[&quot;EPSG&quot;,8827]]],CS[Cartesian,2],AXIS[&quot;(E)&quot;,east,ORDER[1],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]],AXIS[&quot;(N)&quot;,north,ORDER[2],LENGTHUNIT[&quot;metre&quot;,1,ID[&quot;EPSG&quot;,9001]]]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>unknown</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>unknown</dd><dt><span>horizontal_datum_name :</span></dt><dd>unknown</dd><dt><span>projected_crs_name :</span></dt><dd>unknown</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>standard_parallel :</span></dt><dd>(38.5, 38.5)</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>262.5</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>RRFS model grid projection</dd></dl></div><div class='xr-var-data'><pre>array(None, dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eea70bf3-da1f-42b9-a2d6-c1388748e0d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eea70bf3-da1f-42b9-a2d6-c1388748e0d5' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-769d0cfc-092d-4fa2-8be0-0067b4fad783' class='xr-section-summary-in' type='checkbox'  ><label for='section-769d0cfc-092d-4fa2-8be0-0067b4fad783' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>kwbc</dd><dt><span>GRIB_centreDescription :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>GRIB_subCentre :</span></dt><dd>2</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>US National Weather Service - NCEP</dd><dt><span>model :</span></dt><dd>rrfs</dd><dt><span>product :</span></dt><dd>mean</dd><dt><span>description :</span></dt><dd>Rapid Refresh Forecast System (RRFS) Ensemble</dd><dt><span>remote_grib :</span></dt><dd>https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.20210723/00/ensprod/rrfsce.t00z.conus.mean.f01.grib2</dd><dt><span>local_grib :</span></dt><dd>C:\\Users\\blaylock\\data\\rrfs\\20210723\\mem01\\subset_3ce4cf9d__rrfsce.t00z.conus.mean.f01.grib2</dd><dt><span>searchString :</span></dt><dd>TMP:2 m</dd></dl></div></li></ul></div></div>"
            ],
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:              (y: 1059, x: 1799)\n",
              "Coordinates:\n",
              "    time                 datetime64[ns] 2021-07-23\n",
              "    step                 timedelta64[ns] 01:00:00\n",
              "    heightAboveGround    float64 2.0\n",
              "    latitude             (y, x) float64 21.14 21.14 21.15 ... 47.86 47.85 47.84\n",
              "    longitude            (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1\n",
              "    valid_time           datetime64[ns] 2021-07-23T01:00:00\n",
              "Dimensions without coordinates: y, x\n",
              "Data variables:\n",
              "    t2m                  (y, x) float32 295.3 295.3 295.3 ... 287.7 287.8 287.8\n",
              "    gribfile_projection  object None\n",
              "Attributes:\n",
              "    GRIB_edition:            2\n",
              "    GRIB_centre:             kwbc\n",
              "    GRIB_centreDescription:  US National Weather Service - NCEP\n",
              "    GRIB_subCentre:          2\n",
              "    Conventions:             CF-1.7\n",
              "    institution:             US National Weather Service - NCEP\n",
              "    model:                   rrfs\n",
              "    product:                 mean\n",
              "    description:             Rapid Refresh Forecast System (RRFS) Ensemble\n",
              "    remote_grib:             https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.2021...\n",
              "    local_grib:              C:\\Users\\blaylock\\data\\rrfs\\20210723\\mem01\\subse...\n",
              "    searchString:            TMP:2 m"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "ds"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VeBzZulcsGsj",
        "outputId": "50a7396f-bf80-444b-f6c0-f373a9211275"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.0, 1.0, 'RRFS: ensemble mean')"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "ax = EasyMap(crs=ds.herbie.crs, figsize=[10, 8]).ax\n",
        "p = ax.pcolormesh(\n",
        "    ds.longitude, ds.latitude, ds.t2m, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
        ")\n",
        "plt.colorbar(\n",
        "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
        ")\n",
        "\n",
        "ax.set_title(ds.t2m.GRIB_name, loc=\"right\")\n",
        "ax.set_title(f\"{H.model.upper()}: {H.product_description}\", loc=\"left\")"
      ],
      "id": "VeBzZulcsGsj"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dhwTNB4IsGsj"
      },
      "source": [
        "## Missing index files\n",
        "We have to download the full file."
      ],
      "id": "dhwTNB4IsGsj"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DHLAiN20sGsj",
        "outputId": "c68ec174-ab63-4bf2-e0fc-36102af6c0f6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "✅ Found ┊ model=rrfs ┊ \u001b[3mproduct=testbed.conus\u001b[0m ┊ \u001b[38;2;41;130;13m2021-Jul-23 00:00 UTC\u001b[92m F00\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mGRIB2 @ aws-mem\u001b[0m ┊ \u001b[38;2;255;153;0m\u001b[3mIDX @ aws-mem\u001b[0m\n"
          ]
        }
      ],
      "source": [
        "H = Herbie(\n",
        "    \"2021-07-23\", model=\"rrfs\", product=\"testbed.conus\", member=1, priority=\"aws-mem\"\n",
        ")"
      ],
      "id": "DHLAiN20sGsj"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PFuFP4LksGsj",
        "outputId": "6fda6e85-08af-4738-a28b-a41044e0a3f9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "✅ Success! Downloaded RRFS from \u001b[38;5;202maws-mem             \u001b[m\n",
            "\tsrc: https://noaa-rrfs-pds.s3.amazonaws.com/rrfs.20210723/00/mem01/rrfs.t00z.mem01.testbed.conusf000.grib2\n",
            "\tdst: /p/cwfs/blaylock/data/rrfs/20210723/mem01/rrfsce.t00z.conus.testbed.conus.f00.grib2\n"
          ]
        }
      ],
      "source": [
        "# no index file available. Have to download the full file.\n",
        "H.download()"
      ],
      "id": "PFuFP4LksGsj"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ibw3O4-osGsk"
      },
      "outputs": [],
      "source": [
        "import xarray"
      ],
      "id": "ibw3O4-osGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9lyOxN0fsGsk"
      },
      "outputs": [],
      "source": [
        "# Since we have the full file, we need to filter by keys to open the\n",
        "# variable we want with cfgrib\n",
        "x = xarray.open_dataset(\n",
        "    H.get_localFilePath(),\n",
        "    engine=\"cfgrib\",\n",
        "    backend_kwargs={\n",
        "        \"filter_by_keys\": {\"shortName\": \"2t\", \"typeOfLevel\": \"heightAboveGround\"}\n",
        "    },\n",
        ")"
      ],
      "id": "9lyOxN0fsGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gAz5T4jvsGsk",
        "outputId": "ca5d2c33-f85f-4a8c-cf34-3a3a324544a9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.0, 1.0, 'RRFS: member 1')"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 576x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "ax = EasyMap(crs=x.herbie.crs, figsize=[8, 8]).ax\n",
        "p = ax.pcolormesh(\n",
        "    x.longitude, x.latitude, x.t2m, transform=pc, **cm_tmp(units=\"K\").cmap_kwargs\n",
        ")\n",
        "plt.colorbar(\n",
        "    p, ax=ax, orientation=\"horizontal\", pad=0.05, **cm_tmp(units=\"K\").cbar_kwargs\n",
        ")\n",
        "\n",
        "ax.set_title(x.t2m.GRIB_name, loc=\"right\")\n",
        "ax.set_title(f\"{H.model.upper()}: member {H.member}\", loc=\"left\")"
      ],
      "id": "gAz5T4jvsGsk"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yor9Zh-gsGsk"
      },
      "source": [
        "# Grid Mapping\n",
        "Herbie attempts to parse the CF grid mapping from the GRIB data if it is available. This can be parsed by metpy."
      ],
      "id": "yor9Zh-gsGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cit13cansGsk"
      },
      "outputs": [],
      "source": [
        "import metpy"
      ],
      "id": "cit13cansGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uNRSp76tsGsk",
        "outputId": "0d3d7ed7-77d8-46a7-8b82-fa672df85ffc"
      },
      "outputs": [
        {
          "data": {
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              "L 7.279728 47.304884 \n",
              "L 7.583202 42.161462 \n",
              "L 8.10985 37.036081 \n",
              "L 8.858678 31.93842 \n",
              "L 9.82827 26.878105 \n",
              "L 11.016795 21.864694 \n",
              "L 12.422011 16.907652 \n",
              "L 14.041262 12.016342 \n",
              "L 15.871491 7.2 \n",
              "L 125.762676 51.715005 \n",
              "\"/>\n",
              "  </clipPath>\n",
              " </defs>\n",
              "</svg>\n",
              "<pre>&lt;cartopy.crs.LambertConformal object at 0x2ab37c61ccc0&gt;</pre>"
            ],
            "text/plain": [
              "<cartopy.crs.LambertConformal at 0x2ab37c61ccc0>"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "crs_info = x.metpy.parse_cf().metpy_crs.item()\n",
        "crs_info.to_cartopy()"
      ],
      "id": "uNRSp76tsGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "T5yHF6KesGsk",
        "outputId": "8617e095-b379-4357-fa62-342f376e0de1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Projected CRS: {\"$schema\": \"https://proj.org/schemas/v0.2/projjso ...>\n",
              "Name: undefined\n",
              "Axis Info [cartesian]:\n",
              "- E[east]: Easting (metre)\n",
              "- N[north]: Northing (metre)\n",
              "Area of Use:\n",
              "- undefined\n",
              "Coordinate Operation:\n",
              "- name: unknown\n",
              "- method: Lambert Conic Conformal (2SP)\n",
              "Datum: World Geodetic System 1984\n",
              "- Ellipsoid: WGS 84\n",
              "- Prime Meridian: Greenwich"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "crs_info.to_pyproj()"
      ],
      "id": "T5yHF6KesGsk"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UJnKr38DsGsk"
      },
      "outputs": [],
      "source": [],
      "id": "UJnKr38DsGsk"
    }
  ],
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